Geoff Pleiss

efficient_densenet_pytorch. A memory-efficient implementation of DenseNets

temperature_scaling. A simple way to calibrate your neural network.

equalized_odds_and_calibration. Code and data for the experiments in "On Fairness and Calibration"

nnlr. Add layer-wise learning rate schemes to Torch

limits_of_large_width. Code to reproduce the experiments from our NeurIPS 2021 paper " The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective"

gp_bo_demos. Various toy demos of Gaussian processes and Bayesian optimization

latex_template. LaTeX template for ICML/NeurIPS/ICLR/AISTATS projects

linear_operator. [WIP] Demo of potential pytorch linear operator package

ciq_experiments. Code to reproduce the experiments in "Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization"

ai-final-project. A movie review sentiment-based summarizer

uncertainty-baselines. High-quality implementations of standard and SOTA methods on a variety of tasks.

GPyTorch-Wrapper. Python

thesis. TeX

OlinMeshNetwork. Simulations of a theoretical wireless mesh networks at Olin College (for Discrete Math - Olin College Fall 2011)

torch_toeplitz. Python

dotfiles. My config dotfiles

deep_Mahalanobis_detector. Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

chaos-project-3. A simulation of the single-legged inverted pendulum (SLIP) limit-cycle walker (for Nonlinear Dynamics and Chaos - Olin College Fall 2012)